Databricks Notebooks vs Panoply
Databricks Notebooks
databricks.comPanoply
panoply.ioSide by side
| Figure | Databricks Notebooks | Panoply |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Plans published | 11 | 0 |
| Spec score · Data Warehouse Software | 9.2 (#2) | 6.8 (#18) |
| Headquarters | San Francisco, California, United States | The site lists London, United Kingdom. |
Plans
Databricks Notebooks
- Free EditionFree
- Pay as you goPrice not published
- Pay as you goPriced on request
- Committed Use ContractsPrice not published
- Committed Use ContractsPriced on request
- Free EditionFree
- Free trialFree
- Artificial Intelligence$0.07 a month
- Data Engineering$0.15 a month
- Data Warehousing$0.22 a month
In their own words
Databricks Notebooks
Databricks Notebooks has no write-up on Specifiction yet; its figures are above.
Panoply
Panoply.io is a web directory of data and AI infrastructure tools, guides, and articles rather than a current software product for sale. Its coverage includes data warehouses, ingestion and ELT, BI and analytics, ETL, and SQL. Directory pages present pricing, free-tier information, replacement context, and a score, using vendor pricing pages as sources and showing when prices were checked. Vendors can claim pages at no cost and submit corrections to pricing, integrations, and deployment facts for verification. Sponsored placements are labeled as sponsored. The site is published by Lumination AI Limited in London and says it is not affiliated with SQream, Scailium, or the former Panoply product. SQream acquired that managed data warehouse in 2021; the product was discontinued in 2026 after SQream entered insolvency. Panoply.io says nothing on the current site is for sale and suggests managed connectors such as Fivetran or Airbyte feeding Snowflake or BigQuery for former customers. The listed deployment model is cloud, with separate storage and compute and data lake support.